The implementation of AI capabilities in FP&A can be a complex and challenging process. From the author's experience, there are some key aspects to consider when implementing AI capabilities in FP&A to increase your chances of success.

Join the FP&A Trends Webinar on May 10 to learn more about deploying Artificial Intelligence (AI) and Machine Learning (ML) for Planning, Budgeting & Forecasting.

This article provides an overview of the topics and cases presented and discussed by the expert panellists in the "The Power of Driver-Based Planning and Forecasting for Modern FP&A" webinar, as well as the results of our polling questions.

Watch this video to learn a Case Study from Sandoz about the Analytical Transformation of FP&A using AI/ML and RPA.

Today, many companies are intrigued about what ML can do for their company and are waiting to know what it could mean for their finance function. Based on conversations held with many experts in the financial planning process, in this article Gizelda describes the top 5 desired outcomes that are cited as being necessary for ML to be perceived as adding value:

Without a doubt, artificial intelligence can improve the speed and quality of our work. To what extent is it valid for Financial Planning, Budgeting and Forecasting? This article provides an overview of the topics and cases presented and discussed by the expert panellists in the "Deploying AI/ML for Planning, Budgeting & Forecasting" webinar, as well as the results of our polling questions.